Overview

Brought to you by YData

Dataset statistics

Number of variables25
Number of observations30000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 MiB
Average record size in memory200.0 B

Variable types

Numeric22
Categorical3

Alerts

X10 is highly overall correlated with X11 and 8 other fieldsHigh correlation
X11 is highly overall correlated with X10 and 8 other fieldsHigh correlation
X12 is highly overall correlated with X13 and 8 other fieldsHigh correlation
X13 is highly overall correlated with X10 and 10 other fieldsHigh correlation
X14 is highly overall correlated with X10 and 11 other fieldsHigh correlation
X15 is highly overall correlated with X10 and 13 other fieldsHigh correlation
X16 is highly overall correlated with X10 and 13 other fieldsHigh correlation
X17 is highly overall correlated with X10 and 11 other fieldsHigh correlation
X18 is highly overall correlated with X12 and 5 other fieldsHigh correlation
X19 is highly overall correlated with X14 and 5 other fieldsHigh correlation
X20 is highly overall correlated with X15 and 7 other fieldsHigh correlation
X21 is highly overall correlated with X15 and 6 other fieldsHigh correlation
X22 is highly overall correlated with X15 and 5 other fieldsHigh correlation
X23 is highly overall correlated with X16 and 4 other fieldsHigh correlation
X6 is highly overall correlated with X7 and 2 other fieldsHigh correlation
X7 is highly overall correlated with X10 and 7 other fieldsHigh correlation
X8 is highly overall correlated with X10 and 9 other fieldsHigh correlation
X9 is highly overall correlated with X10 and 10 other fieldsHigh correlation
X19 is highly skewed (γ1 = 30.45381745) Skewed
ID is uniformly distributed Uniform
ID has unique values Unique
X6 has 14737 (49.1%) zeros Zeros
X7 has 15730 (52.4%) zeros Zeros
X8 has 15764 (52.5%) zeros Zeros
X9 has 16455 (54.9%) zeros Zeros
X10 has 16947 (56.5%) zeros Zeros
X11 has 16286 (54.3%) zeros Zeros
X12 has 2008 (6.7%) zeros Zeros
X13 has 2506 (8.4%) zeros Zeros
X14 has 2870 (9.6%) zeros Zeros
X15 has 3195 (10.7%) zeros Zeros
X16 has 3506 (11.7%) zeros Zeros
X17 has 4020 (13.4%) zeros Zeros
X18 has 5249 (17.5%) zeros Zeros
X19 has 5396 (18.0%) zeros Zeros
X20 has 5968 (19.9%) zeros Zeros
X21 has 6408 (21.4%) zeros Zeros
X22 has 6703 (22.3%) zeros Zeros
X23 has 7173 (23.9%) zeros Zeros

Reproduction

Analysis started2025-02-23 02:01:13.933953
Analysis finished2025-02-23 02:02:48.065939
Duration1 minute and 34.13 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

ID
Real number (ℝ)

Uniform  Unique 

Distinct30000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15000.5
Minimum1
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-23T02:02:48.193374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1500.95
Q17500.75
median15000.5
Q322500.25
95-th percentile28500.05
Maximum30000
Range29999
Interquartile range (IQR)14999.5

Descriptive statistics

Standard deviation8660.3984
Coefficient of variation (CV)0.57734065
Kurtosis-1.2
Mean15000.5
Median Absolute Deviation (MAD)7500
Skewness0
Sum4.50015 × 108
Variance75002500
MonotonicityStrictly increasing
2025-02-23T02:02:48.413439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
19997 1
 
< 0.1%
20009 1
 
< 0.1%
20008 1
 
< 0.1%
20007 1
 
< 0.1%
20006 1
 
< 0.1%
20005 1
 
< 0.1%
20004 1
 
< 0.1%
20003 1
 
< 0.1%
20002 1
 
< 0.1%
Other values (29990) 29990
> 99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
30000 1
< 0.1%
29999 1
< 0.1%
29998 1
< 0.1%
29997 1
< 0.1%
29996 1
< 0.1%
29995 1
< 0.1%
29994 1
< 0.1%
29993 1
< 0.1%
29992 1
< 0.1%
29991 1
< 0.1%

X1
Real number (ℝ)

Distinct81
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167484.32
Minimum10000
Maximum1000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-23T02:02:48.647645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile20000
Q150000
median140000
Q3240000
95-th percentile430000
Maximum1000000
Range990000
Interquartile range (IQR)190000

Descriptive statistics

Standard deviation129747.66
Coefficient of variation (CV)0.77468541
Kurtosis0.5362629
Mean167484.32
Median Absolute Deviation (MAD)90000
Skewness0.99286696
Sum5.0245297 × 109
Variance1.6834456 × 1010
MonotonicityNot monotonic
2025-02-23T02:02:48.841784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000 3365
 
11.2%
20000 1976
 
6.6%
30000 1610
 
5.4%
80000 1567
 
5.2%
200000 1528
 
5.1%
150000 1110
 
3.7%
100000 1048
 
3.5%
180000 995
 
3.3%
360000 881
 
2.9%
60000 825
 
2.8%
Other values (71) 15095
50.3%
ValueCountFrequency (%)
10000 493
 
1.6%
16000 2
 
< 0.1%
20000 1976
6.6%
30000 1610
5.4%
40000 230
 
0.8%
50000 3365
11.2%
60000 825
 
2.8%
70000 731
 
2.4%
80000 1567
5.2%
90000 651
 
2.2%
ValueCountFrequency (%)
1000000 1
 
< 0.1%
800000 2
 
< 0.1%
780000 2
 
< 0.1%
760000 1
 
< 0.1%
750000 4
< 0.1%
740000 2
 
< 0.1%
730000 2
 
< 0.1%
720000 3
 
< 0.1%
710000 6
< 0.1%
700000 8
< 0.1%

X2
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
2
18112 
1
11888 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters30000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
2 18112
60.4%
1 11888
39.6%

Length

2025-02-23T02:02:49.025111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-23T02:02:49.123205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2 18112
60.4%
1 11888
39.6%

Most occurring characters

ValueCountFrequency (%)
2 18112
60.4%
1 11888
39.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 18112
60.4%
1 11888
39.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 18112
60.4%
1 11888
39.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 18112
60.4%
1 11888
39.6%

X3
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8531333
Minimum0
Maximum6
Zeros14
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-23T02:02:49.205351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.79034866
Coefficient of variation (CV)0.42649314
Kurtosis2.0786216
Mean1.8531333
Median Absolute Deviation (MAD)1
Skewness0.97097205
Sum55594
Variance0.624651
MonotonicityNot monotonic
2025-02-23T02:02:49.323416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 14030
46.8%
1 10585
35.3%
3 4917
 
16.4%
5 280
 
0.9%
4 123
 
0.4%
6 51
 
0.2%
0 14
 
< 0.1%
ValueCountFrequency (%)
0 14
 
< 0.1%
1 10585
35.3%
2 14030
46.8%
3 4917
 
16.4%
4 123
 
0.4%
5 280
 
0.9%
6 51
 
0.2%
ValueCountFrequency (%)
6 51
 
0.2%
5 280
 
0.9%
4 123
 
0.4%
3 4917
 
16.4%
2 14030
46.8%
1 10585
35.3%
0 14
 
< 0.1%

X4
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
2
15964 
1
13659 
3
 
323
0
 
54

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters30000
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 15964
53.2%
1 13659
45.5%
3 323
 
1.1%
0 54
 
0.2%

Length

2025-02-23T02:02:49.464577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-23T02:02:49.583076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2 15964
53.2%
1 13659
45.5%
3 323
 
1.1%
0 54
 
0.2%

Most occurring characters

ValueCountFrequency (%)
2 15964
53.2%
1 13659
45.5%
3 323
 
1.1%
0 54
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 15964
53.2%
1 13659
45.5%
3 323
 
1.1%
0 54
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 15964
53.2%
1 13659
45.5%
3 323
 
1.1%
0 54
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 15964
53.2%
1 13659
45.5%
3 323
 
1.1%
0 54
 
0.2%

X5
Real number (ℝ)

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.4855
Minimum21
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-23T02:02:49.733540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile23
Q128
median34
Q341
95-th percentile53
Maximum79
Range58
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.2179041
Coefficient of variation (CV)0.25976537
Kurtosis0.044303378
Mean35.4855
Median Absolute Deviation (MAD)6
Skewness0.73224587
Sum1064565
Variance84.969755
MonotonicityNot monotonic
2025-02-23T02:02:50.063289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 1605
 
5.3%
27 1477
 
4.9%
28 1409
 
4.7%
30 1395
 
4.7%
26 1256
 
4.2%
31 1217
 
4.1%
25 1186
 
4.0%
34 1162
 
3.9%
32 1158
 
3.9%
33 1146
 
3.8%
Other values (46) 16989
56.6%
ValueCountFrequency (%)
21 67
 
0.2%
22 560
 
1.9%
23 931
3.1%
24 1127
3.8%
25 1186
4.0%
26 1256
4.2%
27 1477
4.9%
28 1409
4.7%
29 1605
5.3%
30 1395
4.7%
ValueCountFrequency (%)
79 1
 
< 0.1%
75 3
 
< 0.1%
74 1
 
< 0.1%
73 4
 
< 0.1%
72 3
 
< 0.1%
71 3
 
< 0.1%
70 10
< 0.1%
69 15
0.1%
68 5
 
< 0.1%
67 16
0.1%

X6
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0167
Minimum-2
Maximum8
Zeros14737
Zeros (%)49.1%
Negative8445
Negative (%)28.1%
Memory size234.5 KiB
2025-02-23T02:02:50.257806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1238015
Coefficient of variation (CV)-67.293505
Kurtosis2.720715
Mean-0.0167
Median Absolute Deviation (MAD)1
Skewness0.73197493
Sum-501
Variance1.2629299
MonotonicityNot monotonic
2025-02-23T02:02:50.381593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 14737
49.1%
-1 5686
 
19.0%
1 3688
 
12.3%
-2 2759
 
9.2%
2 2667
 
8.9%
3 322
 
1.1%
4 76
 
0.3%
5 26
 
0.1%
8 19
 
0.1%
6 11
 
< 0.1%
ValueCountFrequency (%)
-2 2759
 
9.2%
-1 5686
 
19.0%
0 14737
49.1%
1 3688
 
12.3%
2 2667
 
8.9%
3 322
 
1.1%
4 76
 
0.3%
5 26
 
0.1%
6 11
 
< 0.1%
7 9
 
< 0.1%
ValueCountFrequency (%)
8 19
 
0.1%
7 9
 
< 0.1%
6 11
 
< 0.1%
5 26
 
0.1%
4 76
 
0.3%
3 322
 
1.1%
2 2667
 
8.9%
1 3688
 
12.3%
0 14737
49.1%
-1 5686
 
19.0%

X7
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.13376667
Minimum-2
Maximum8
Zeros15730
Zeros (%)52.4%
Negative9832
Negative (%)32.8%
Memory size234.5 KiB
2025-02-23T02:02:50.512894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.197186
Coefficient of variation (CV)-8.9498079
Kurtosis1.5704177
Mean-0.13376667
Median Absolute Deviation (MAD)0
Skewness0.79056502
Sum-4013
Variance1.4332543
MonotonicityNot monotonic
2025-02-23T02:02:50.636328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 15730
52.4%
-1 6050
 
20.2%
2 3927
 
13.1%
-2 3782
 
12.6%
3 326
 
1.1%
4 99
 
0.3%
1 28
 
0.1%
5 25
 
0.1%
7 20
 
0.1%
6 12
 
< 0.1%
ValueCountFrequency (%)
-2 3782
 
12.6%
-1 6050
 
20.2%
0 15730
52.4%
1 28
 
0.1%
2 3927
 
13.1%
3 326
 
1.1%
4 99
 
0.3%
5 25
 
0.1%
6 12
 
< 0.1%
7 20
 
0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 20
 
0.1%
6 12
 
< 0.1%
5 25
 
0.1%
4 99
 
0.3%
3 326
 
1.1%
2 3927
 
13.1%
1 28
 
0.1%
0 15730
52.4%
-1 6050
 
20.2%

X8
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1662
Minimum-2
Maximum8
Zeros15764
Zeros (%)52.5%
Negative10023
Negative (%)33.4%
Memory size234.5 KiB
2025-02-23T02:02:50.940286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1968676
Coefficient of variation (CV)-7.2013692
Kurtosis2.0844359
Mean-0.1662
Median Absolute Deviation (MAD)0
Skewness0.84068183
Sum-4986
Variance1.432492
MonotonicityNot monotonic
2025-02-23T02:02:51.079853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 15764
52.5%
-1 5938
 
19.8%
-2 4085
 
13.6%
2 3819
 
12.7%
3 240
 
0.8%
4 76
 
0.3%
7 27
 
0.1%
6 23
 
0.1%
5 21
 
0.1%
1 4
 
< 0.1%
ValueCountFrequency (%)
-2 4085
 
13.6%
-1 5938
 
19.8%
0 15764
52.5%
1 4
 
< 0.1%
2 3819
 
12.7%
3 240
 
0.8%
4 76
 
0.3%
5 21
 
0.1%
6 23
 
0.1%
7 27
 
0.1%
ValueCountFrequency (%)
8 3
 
< 0.1%
7 27
 
0.1%
6 23
 
0.1%
5 21
 
0.1%
4 76
 
0.3%
3 240
 
0.8%
2 3819
 
12.7%
1 4
 
< 0.1%
0 15764
52.5%
-1 5938
 
19.8%

X9
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.22066667
Minimum-2
Maximum8
Zeros16455
Zeros (%)54.9%
Negative10035
Negative (%)33.5%
Memory size234.5 KiB
2025-02-23T02:02:51.201044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1691386
Coefficient of variation (CV)-5.2982113
Kurtosis3.4969835
Mean-0.22066667
Median Absolute Deviation (MAD)0
Skewness0.99962941
Sum-6620
Variance1.3668851
MonotonicityNot monotonic
2025-02-23T02:02:51.325540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 16455
54.9%
-1 5687
 
19.0%
-2 4348
 
14.5%
2 3159
 
10.5%
3 180
 
0.6%
4 69
 
0.2%
7 58
 
0.2%
5 35
 
0.1%
6 5
 
< 0.1%
1 2
 
< 0.1%
ValueCountFrequency (%)
-2 4348
 
14.5%
-1 5687
 
19.0%
0 16455
54.9%
1 2
 
< 0.1%
2 3159
 
10.5%
3 180
 
0.6%
4 69
 
0.2%
5 35
 
0.1%
6 5
 
< 0.1%
7 58
 
0.2%
ValueCountFrequency (%)
8 2
 
< 0.1%
7 58
 
0.2%
6 5
 
< 0.1%
5 35
 
0.1%
4 69
 
0.2%
3 180
 
0.6%
2 3159
 
10.5%
1 2
 
< 0.1%
0 16455
54.9%
-1 5687
 
19.0%

X10
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2662
Minimum-2
Maximum8
Zeros16947
Zeros (%)56.5%
Negative10085
Negative (%)33.6%
Memory size234.5 KiB
2025-02-23T02:02:51.449632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1331874
Coefficient of variation (CV)-4.2569024
Kurtosis3.9897481
Mean-0.2662
Median Absolute Deviation (MAD)0
Skewness1.008197
Sum-7986
Variance1.2841137
MonotonicityNot monotonic
2025-02-23T02:02:51.735286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 16947
56.5%
-1 5539
 
18.5%
-2 4546
 
15.2%
2 2626
 
8.8%
3 178
 
0.6%
4 84
 
0.3%
7 58
 
0.2%
5 17
 
0.1%
6 4
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
-2 4546
 
15.2%
-1 5539
 
18.5%
0 16947
56.5%
2 2626
 
8.8%
3 178
 
0.6%
4 84
 
0.3%
5 17
 
0.1%
6 4
 
< 0.1%
7 58
 
0.2%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 58
 
0.2%
6 4
 
< 0.1%
5 17
 
0.1%
4 84
 
0.3%
3 178
 
0.6%
2 2626
 
8.8%
0 16947
56.5%
-1 5539
 
18.5%
-2 4546
 
15.2%

X11
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2911
Minimum-2
Maximum8
Zeros16286
Zeros (%)54.3%
Negative10635
Negative (%)35.4%
Memory size234.5 KiB
2025-02-23T02:02:51.877771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1499876
Coefficient of variation (CV)-3.95049
Kurtosis3.4265341
Mean-0.2911
Median Absolute Deviation (MAD)0
Skewness0.94802939
Sum-8733
Variance1.3224715
MonotonicityNot monotonic
2025-02-23T02:02:52.005093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 16286
54.3%
-1 5740
 
19.1%
-2 4895
 
16.3%
2 2766
 
9.2%
3 184
 
0.6%
4 49
 
0.2%
7 46
 
0.2%
6 19
 
0.1%
5 13
 
< 0.1%
8 2
 
< 0.1%
ValueCountFrequency (%)
-2 4895
 
16.3%
-1 5740
 
19.1%
0 16286
54.3%
2 2766
 
9.2%
3 184
 
0.6%
4 49
 
0.2%
5 13
 
< 0.1%
6 19
 
0.1%
7 46
 
0.2%
8 2
 
< 0.1%
ValueCountFrequency (%)
8 2
 
< 0.1%
7 46
 
0.2%
6 19
 
0.1%
5 13
 
< 0.1%
4 49
 
0.2%
3 184
 
0.6%
2 2766
 
9.2%
0 16286
54.3%
-1 5740
 
19.1%
-2 4895
 
16.3%

X12
Real number (ℝ)

High correlation  Zeros 

Distinct22723
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51223.331
Minimum-165580
Maximum964511
Zeros2008
Zeros (%)6.7%
Negative590
Negative (%)2.0%
Memory size234.5 KiB
2025-02-23T02:02:52.192861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-165580
5-th percentile0
Q13558.75
median22381.5
Q367091
95-th percentile201203.05
Maximum964511
Range1130091
Interquartile range (IQR)63532.25

Descriptive statistics

Standard deviation73635.861
Coefficient of variation (CV)1.4375453
Kurtosis9.8062893
Mean51223.331
Median Absolute Deviation (MAD)21800.5
Skewness2.663861
Sum1.5366999 × 109
Variance5.42224 × 109
MonotonicityNot monotonic
2025-02-23T02:02:52.392244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2008
 
6.7%
390 244
 
0.8%
780 76
 
0.3%
326 72
 
0.2%
316 63
 
0.2%
2500 59
 
0.2%
396 49
 
0.2%
2400 39
 
0.1%
416 29
 
0.1%
500 25
 
0.1%
Other values (22713) 27336
91.1%
ValueCountFrequency (%)
-165580 1
< 0.1%
-154973 1
< 0.1%
-15308 1
< 0.1%
-14386 1
< 0.1%
-11545 1
< 0.1%
-10682 1
< 0.1%
-9802 1
< 0.1%
-9095 1
< 0.1%
-8187 1
< 0.1%
-7438 1
< 0.1%
ValueCountFrequency (%)
964511 1
< 0.1%
746814 1
< 0.1%
653062 1
< 0.1%
630458 1
< 0.1%
626648 1
< 0.1%
621749 1
< 0.1%
613860 1
< 0.1%
610723 1
< 0.1%
608594 1
< 0.1%
604019 1
< 0.1%

X13
Real number (ℝ)

High correlation  Zeros 

Distinct22346
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49179.075
Minimum-69777
Maximum983931
Zeros2506
Zeros (%)8.4%
Negative669
Negative (%)2.2%
Memory size234.5 KiB
2025-02-23T02:02:52.588887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-69777
5-th percentile0
Q12984.75
median21200
Q364006.25
95-th percentile194792.2
Maximum983931
Range1053708
Interquartile range (IQR)61021.5

Descriptive statistics

Standard deviation71173.769
Coefficient of variation (CV)1.4472368
Kurtosis10.302946
Mean49179.075
Median Absolute Deviation (MAD)20810
Skewness2.7052209
Sum1.4753723 × 109
Variance5.0657054 × 109
MonotonicityNot monotonic
2025-02-23T02:02:52.822050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2506
 
8.4%
390 231
 
0.8%
326 75
 
0.2%
780 75
 
0.2%
316 72
 
0.2%
396 51
 
0.2%
2500 51
 
0.2%
2400 42
 
0.1%
-200 29
 
0.1%
416 28
 
0.1%
Other values (22336) 26840
89.5%
ValueCountFrequency (%)
-69777 1
< 0.1%
-67526 1
< 0.1%
-33350 1
< 0.1%
-30000 1
< 0.1%
-26214 1
< 0.1%
-24704 1
< 0.1%
-24702 1
< 0.1%
-22960 1
< 0.1%
-18618 1
< 0.1%
-18088 1
< 0.1%
ValueCountFrequency (%)
983931 1
< 0.1%
743970 1
< 0.1%
671563 1
< 0.1%
646770 1
< 0.1%
624475 1
< 0.1%
605943 1
< 0.1%
597793 1
< 0.1%
586825 1
< 0.1%
581775 1
< 0.1%
577681 1
< 0.1%

X14
Real number (ℝ)

High correlation  Zeros 

Distinct22026
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47013.155
Minimum-157264
Maximum1664089
Zeros2870
Zeros (%)9.6%
Negative655
Negative (%)2.2%
Memory size234.5 KiB
2025-02-23T02:02:53.044155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-157264
5-th percentile0
Q12666.25
median20088.5
Q360164.75
95-th percentile187821.05
Maximum1664089
Range1821353
Interquartile range (IQR)57498.5

Descriptive statistics

Standard deviation69349.387
Coefficient of variation (CV)1.475106
Kurtosis19.783255
Mean47013.155
Median Absolute Deviation (MAD)19708.5
Skewness3.08783
Sum1.4103946 × 109
Variance4.8093375 × 109
MonotonicityNot monotonic
2025-02-23T02:02:53.367328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2870
 
9.6%
390 275
 
0.9%
780 74
 
0.2%
326 63
 
0.2%
316 62
 
0.2%
396 48
 
0.2%
2500 40
 
0.1%
2400 39
 
0.1%
416 29
 
0.1%
200 27
 
0.1%
Other values (22016) 26473
88.2%
ValueCountFrequency (%)
-157264 1
< 0.1%
-61506 1
< 0.1%
-46127 1
< 0.1%
-34041 1
< 0.1%
-25443 1
< 0.1%
-24702 1
< 0.1%
-20320 1
< 0.1%
-17706 1
< 0.1%
-15910 1
< 0.1%
-15641 1
< 0.1%
ValueCountFrequency (%)
1664089 1
< 0.1%
855086 1
< 0.1%
693131 1
< 0.1%
689643 1
< 0.1%
689627 1
< 0.1%
632041 1
< 0.1%
597415 1
< 0.1%
578971 1
< 0.1%
577957 1
< 0.1%
577015 1
< 0.1%

X15
Real number (ℝ)

High correlation  Zeros 

Distinct21548
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43262.949
Minimum-170000
Maximum891586
Zeros3195
Zeros (%)10.7%
Negative675
Negative (%)2.2%
Memory size234.5 KiB
2025-02-23T02:02:53.637707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-170000
5-th percentile0
Q12326.75
median19052
Q354506
95-th percentile174333.35
Maximum891586
Range1061586
Interquartile range (IQR)52179.25

Descriptive statistics

Standard deviation64332.856
Coefficient of variation (CV)1.4870197
Kurtosis11.309325
Mean43262.949
Median Absolute Deviation (MAD)18656
Skewness2.8219653
Sum1.2978885 × 109
Variance4.1387164 × 109
MonotonicityNot monotonic
2025-02-23T02:02:53.978712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3195
 
10.7%
390 246
 
0.8%
780 101
 
0.3%
316 68
 
0.2%
326 62
 
0.2%
396 44
 
0.1%
2400 39
 
0.1%
150 39
 
0.1%
2500 34
 
0.1%
416 33
 
0.1%
Other values (21538) 26139
87.1%
ValueCountFrequency (%)
-170000 1
< 0.1%
-81334 1
< 0.1%
-65167 1
< 0.1%
-50616 1
< 0.1%
-46627 1
< 0.1%
-34503 1
< 0.1%
-27490 1
< 0.1%
-24303 1
< 0.1%
-22108 1
< 0.1%
-20320 1
< 0.1%
ValueCountFrequency (%)
891586 1
< 0.1%
706864 1
< 0.1%
628699 1
< 0.1%
616836 1
< 0.1%
572805 1
< 0.1%
569034 1
< 0.1%
565669 1
< 0.1%
563543 1
< 0.1%
548020 1
< 0.1%
542653 1
< 0.1%

X16
Real number (ℝ)

High correlation  Zeros 

Distinct21010
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40311.401
Minimum-81334
Maximum927171
Zeros3506
Zeros (%)11.7%
Negative655
Negative (%)2.2%
Memory size234.5 KiB
2025-02-23T02:02:54.296182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-81334
5-th percentile0
Q11763
median18104.5
Q350190.5
95-th percentile165794.3
Maximum927171
Range1008505
Interquartile range (IQR)48427.5

Descriptive statistics

Standard deviation60797.156
Coefficient of variation (CV)1.5081876
Kurtosis12.305881
Mean40311.401
Median Absolute Deviation (MAD)17688.5
Skewness2.8763799
Sum1.209342 × 109
Variance3.6962941 × 109
MonotonicityNot monotonic
2025-02-23T02:02:54.580300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3506
 
11.7%
390 235
 
0.8%
780 94
 
0.3%
316 79
 
0.3%
326 62
 
0.2%
150 58
 
0.2%
396 47
 
0.2%
2400 39
 
0.1%
2500 37
 
0.1%
416 36
 
0.1%
Other values (21000) 25807
86.0%
ValueCountFrequency (%)
-81334 1
< 0.1%
-61372 1
< 0.1%
-53007 1
< 0.1%
-46627 1
< 0.1%
-37594 1
< 0.1%
-36156 1
< 0.1%
-30481 1
< 0.1%
-28335 1
< 0.1%
-23003 1
< 0.1%
-20753 1
< 0.1%
ValueCountFrequency (%)
927171 1
< 0.1%
823540 1
< 0.1%
587067 1
< 0.1%
551702 1
< 0.1%
547880 1
< 0.1%
530672 1
< 0.1%
524315 1
< 0.1%
516139 1
< 0.1%
514114 1
< 0.1%
508213 1
< 0.1%

X17
Real number (ℝ)

High correlation  Zeros 

Distinct20604
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38871.76
Minimum-339603
Maximum961664
Zeros4020
Zeros (%)13.4%
Negative688
Negative (%)2.3%
Memory size234.5 KiB
2025-02-23T02:02:54.940285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-339603
5-th percentile0
Q11256
median17071
Q349198.25
95-th percentile161912
Maximum961664
Range1301267
Interquartile range (IQR)47942.25

Descriptive statistics

Standard deviation59554.108
Coefficient of variation (CV)1.5320661
Kurtosis12.270705
Mean38871.76
Median Absolute Deviation (MAD)16755
Skewness2.8466446
Sum1.1661528 × 109
Variance3.5466917 × 109
MonotonicityNot monotonic
2025-02-23T02:02:55.326336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4020
 
13.4%
390 207
 
0.7%
780 86
 
0.3%
150 78
 
0.3%
316 77
 
0.3%
326 56
 
0.2%
396 45
 
0.1%
416 36
 
0.1%
-18 33
 
0.1%
2400 32
 
0.1%
Other values (20594) 25330
84.4%
ValueCountFrequency (%)
-339603 1
< 0.1%
-209051 1
< 0.1%
-150953 1
< 0.1%
-94625 1
< 0.1%
-73895 1
< 0.1%
-57060 1
< 0.1%
-51443 1
< 0.1%
-51183 1
< 0.1%
-46627 1
< 0.1%
-45734 1
< 0.1%
ValueCountFrequency (%)
961664 1
< 0.1%
699944 1
< 0.1%
568638 1
< 0.1%
527711 1
< 0.1%
527566 1
< 0.1%
514975 1
< 0.1%
513798 1
< 0.1%
511905 1
< 0.1%
501370 1
< 0.1%
499100 1
< 0.1%

X18
Real number (ℝ)

High correlation  Zeros 

Distinct7943
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5663.5805
Minimum0
Maximum873552
Zeros5249
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-23T02:02:55.633596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11000
median2100
Q35006
95-th percentile18428.2
Maximum873552
Range873552
Interquartile range (IQR)4006

Descriptive statistics

Standard deviation16563.28
Coefficient of variation (CV)2.9245246
Kurtosis415.25474
Mean5663.5805
Median Absolute Deviation (MAD)1932
Skewness14.668364
Sum1.6990742 × 108
Variance2.7434226 × 108
MonotonicityNot monotonic
2025-02-23T02:02:56.001808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5249
 
17.5%
2000 1363
 
4.5%
3000 891
 
3.0%
5000 698
 
2.3%
1500 507
 
1.7%
4000 426
 
1.4%
10000 401
 
1.3%
1000 365
 
1.2%
2500 298
 
1.0%
6000 294
 
1.0%
Other values (7933) 19508
65.0%
ValueCountFrequency (%)
0 5249
17.5%
1 9
 
< 0.1%
2 14
 
< 0.1%
3 15
 
0.1%
4 18
 
0.1%
5 12
 
< 0.1%
6 15
 
0.1%
7 9
 
< 0.1%
8 8
 
< 0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
873552 1
< 0.1%
505000 1
< 0.1%
493358 1
< 0.1%
423903 1
< 0.1%
405016 1
< 0.1%
368199 1
< 0.1%
323014 1
< 0.1%
304815 1
< 0.1%
302000 1
< 0.1%
300039 1
< 0.1%

X19
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct7899
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5921.1635
Minimum0
Maximum1684259
Zeros5396
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-23T02:02:56.320414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1833
median2009
Q35000
95-th percentile19004.35
Maximum1684259
Range1684259
Interquartile range (IQR)4167

Descriptive statistics

Standard deviation23040.87
Coefficient of variation (CV)3.8912741
Kurtosis1641.6319
Mean5921.1635
Median Absolute Deviation (MAD)1991
Skewness30.453817
Sum1.776349 × 108
Variance5.3088171 × 108
MonotonicityNot monotonic
2025-02-23T02:02:56.532321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5396
 
18.0%
2000 1290
 
4.3%
3000 857
 
2.9%
5000 717
 
2.4%
1000 594
 
2.0%
1500 521
 
1.7%
4000 410
 
1.4%
10000 318
 
1.1%
6000 283
 
0.9%
2500 251
 
0.8%
Other values (7889) 19363
64.5%
ValueCountFrequency (%)
0 5396
18.0%
1 15
 
0.1%
2 20
 
0.1%
3 18
 
0.1%
4 11
 
< 0.1%
5 25
 
0.1%
6 8
 
< 0.1%
7 12
 
< 0.1%
8 9
 
< 0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
1684259 1
< 0.1%
1227082 1
< 0.1%
1215471 1
< 0.1%
1024516 1
< 0.1%
580464 1
< 0.1%
415552 1
< 0.1%
401003 1
< 0.1%
388126 1
< 0.1%
385228 1
< 0.1%
384986 1
< 0.1%

X20
Real number (ℝ)

High correlation  Zeros 

Distinct7518
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5225.6815
Minimum0
Maximum896040
Zeros5968
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-23T02:02:56.735803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1390
median1800
Q34505
95-th percentile17589.4
Maximum896040
Range896040
Interquartile range (IQR)4115

Descriptive statistics

Standard deviation17606.961
Coefficient of variation (CV)3.3693139
Kurtosis564.31123
Mean5225.6815
Median Absolute Deviation (MAD)1795
Skewness17.216635
Sum1.5677044 × 108
Variance3.1000509 × 108
MonotonicityNot monotonic
2025-02-23T02:02:56.922550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5968
 
19.9%
2000 1285
 
4.3%
1000 1103
 
3.7%
3000 870
 
2.9%
5000 721
 
2.4%
1500 490
 
1.6%
4000 381
 
1.3%
10000 312
 
1.0%
1200 243
 
0.8%
6000 241
 
0.8%
Other values (7508) 18386
61.3%
ValueCountFrequency (%)
0 5968
19.9%
1 13
 
< 0.1%
2 19
 
0.1%
3 14
 
< 0.1%
4 15
 
0.1%
5 18
 
0.1%
6 14
 
< 0.1%
7 18
 
0.1%
8 10
 
< 0.1%
9 12
 
< 0.1%
ValueCountFrequency (%)
896040 1
< 0.1%
889043 1
< 0.1%
508229 1
< 0.1%
417588 1
< 0.1%
400972 1
< 0.1%
397092 1
< 0.1%
380478 1
< 0.1%
371718 1
< 0.1%
349395 1
< 0.1%
344261 1
< 0.1%

X21
Real number (ℝ)

High correlation  Zeros 

Distinct6937
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4826.0769
Minimum0
Maximum621000
Zeros6408
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-23T02:02:57.106159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1296
median1500
Q34013.25
95-th percentile16014.95
Maximum621000
Range621000
Interquartile range (IQR)3717.25

Descriptive statistics

Standard deviation15666.16
Coefficient of variation (CV)3.246148
Kurtosis277.33377
Mean4826.0769
Median Absolute Deviation (MAD)1500
Skewness12.904985
Sum1.4478231 × 108
Variance2.4542856 × 108
MonotonicityNot monotonic
2025-02-23T02:02:57.292302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6408
 
21.4%
1000 1394
 
4.6%
2000 1214
 
4.0%
3000 887
 
3.0%
5000 810
 
2.7%
1500 441
 
1.5%
4000 402
 
1.3%
10000 341
 
1.1%
2500 259
 
0.9%
500 258
 
0.9%
Other values (6927) 17586
58.6%
ValueCountFrequency (%)
0 6408
21.4%
1 22
 
0.1%
2 22
 
0.1%
3 13
 
< 0.1%
4 20
 
0.1%
5 12
 
< 0.1%
6 16
 
0.1%
7 11
 
< 0.1%
8 7
 
< 0.1%
9 9
 
< 0.1%
ValueCountFrequency (%)
621000 1
< 0.1%
528897 1
< 0.1%
497000 1
< 0.1%
432130 1
< 0.1%
400046 1
< 0.1%
331788 1
< 0.1%
330982 1
< 0.1%
320008 1
< 0.1%
313094 1
< 0.1%
292962 1
< 0.1%

X22
Real number (ℝ)

High correlation  Zeros 

Distinct6897
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4799.3876
Minimum0
Maximum426529
Zeros6703
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-23T02:02:57.510225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1252.5
median1500
Q34031.5
95-th percentile16000
Maximum426529
Range426529
Interquartile range (IQR)3779

Descriptive statistics

Standard deviation15278.306
Coefficient of variation (CV)3.1833865
Kurtosis180.06394
Mean4799.3876
Median Absolute Deviation (MAD)1500
Skewness11.127417
Sum1.4398163 × 108
Variance2.3342662 × 108
MonotonicityNot monotonic
2025-02-23T02:02:57.707067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6703
 
22.3%
1000 1340
 
4.5%
2000 1323
 
4.4%
3000 947
 
3.2%
5000 814
 
2.7%
1500 426
 
1.4%
4000 401
 
1.3%
10000 343
 
1.1%
500 250
 
0.8%
6000 247
 
0.8%
Other values (6887) 17206
57.4%
ValueCountFrequency (%)
0 6703
22.3%
1 21
 
0.1%
2 13
 
< 0.1%
3 13
 
< 0.1%
4 12
 
< 0.1%
5 9
 
< 0.1%
6 7
 
< 0.1%
7 9
 
< 0.1%
8 6
 
< 0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
426529 1
< 0.1%
417990 1
< 0.1%
388071 1
< 0.1%
379267 1
< 0.1%
332000 1
< 0.1%
331788 1
< 0.1%
330982 1
< 0.1%
326889 1
< 0.1%
317077 1
< 0.1%
310135 1
< 0.1%

X23
Real number (ℝ)

High correlation  Zeros 

Distinct6939
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5215.5026
Minimum0
Maximum528666
Zeros7173
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-23T02:02:57.894633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1117.75
median1500
Q34000
95-th percentile17343.8
Maximum528666
Range528666
Interquartile range (IQR)3882.25

Descriptive statistics

Standard deviation17777.466
Coefficient of variation (CV)3.4085815
Kurtosis167.16143
Mean5215.5026
Median Absolute Deviation (MAD)1500
Skewness10.640727
Sum1.5646508 × 108
Variance3.1603829 × 108
MonotonicityNot monotonic
2025-02-23T02:02:58.092770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7173
23.9%
1000 1299
 
4.3%
2000 1295
 
4.3%
3000 914
 
3.0%
5000 808
 
2.7%
1500 439
 
1.5%
4000 411
 
1.4%
10000 356
 
1.2%
500 247
 
0.8%
6000 220
 
0.7%
Other values (6929) 16838
56.1%
ValueCountFrequency (%)
0 7173
23.9%
1 20
 
0.1%
2 9
 
< 0.1%
3 14
 
< 0.1%
4 12
 
< 0.1%
5 7
 
< 0.1%
6 6
 
< 0.1%
7 5
 
< 0.1%
8 6
 
< 0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
528666 1
< 0.1%
527143 1
< 0.1%
443001 1
< 0.1%
422000 1
< 0.1%
403500 1
< 0.1%
377000 1
< 0.1%
372495 1
< 0.1%
351282 1
< 0.1%
345293 1
< 0.1%
308000 1
< 0.1%

Y
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
0
23364 
1
6636 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters30000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23364
77.9%
1 6636
 
22.1%

Length

2025-02-23T02:02:58.256000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-23T02:02:58.355325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 23364
77.9%
1 6636
 
22.1%

Most occurring characters

ValueCountFrequency (%)
0 23364
77.9%
1 6636
 
22.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 23364
77.9%
1 6636
 
22.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 23364
77.9%
1 6636
 
22.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 23364
77.9%
1 6636
 
22.1%

Interactions

2025-02-23T02:02:43.943431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:17.164723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:20.727102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:25.365552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:31.490231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:38.491622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:41.803375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:45.462931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:49.444168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:53.200302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:56.820519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:00.143599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-23T02:02:16.837725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:20.238930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:24.366231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:28.006689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-23T02:01:21.009993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-23T02:01:32.092721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-23T02:02:46.222915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:19.484285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:23.935137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:29.577386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:36.574396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:40.762460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:44.046973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:47.724138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:52.161962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:55.774412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:59.069929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:03.574508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:07.572332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:11.087339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:14.891632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:19.024045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:23.019039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:26.400773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:31.019350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:34.305886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:37.728824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:42.622828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:46.388905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:19.655003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:24.109070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:29.851308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:37.005117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:40.920022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:44.194852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:47.985010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:52.315409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:55.935424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:59.239376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:03.800909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:07.731187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:11.254833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:15.166905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:19.175759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:23.176275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:26.593124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:31.176319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:34.510530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:37.888577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:42.911669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:46.547909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:19.795946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:24.371550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:30.056553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:37.267041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:41.052258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:44.356028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:48.245518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:52.460051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:56.073164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:59.392543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:03.956140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:07.877321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:11.471873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:15.442086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:19.309728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:23.326228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:26.733100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:31.332463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:34.646821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:38.043007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:43.182886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:46.714554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:19.950304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:24.664169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:30.376079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:37.851060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:41.208736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:44.553305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:48.526123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:52.627661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:56.223006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:59.562428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:04.118031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:08.030463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:11.639835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:15.715650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:19.509946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:23.546081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:26.897168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:31.514274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:34.806473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:38.198843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:43.349074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:46.891755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:20.088858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:24.870128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:30.634755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:38.006694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:41.359067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:44.701930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:48.740886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:52.777358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:56.360785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:59.710053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:04.270403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:08.169090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:11.797726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:15.882240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:19.641045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:23.703890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:27.060225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:31.673820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:34.964997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:38.336533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:43.496955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:47.060190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:20.254627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:25.057800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:30.952845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:38.181975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:41.519226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:45.144718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:49.015990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:52.927842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:56.524134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:59.856986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:04.459705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:08.325186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:11.954680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:16.139606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:19.811247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:23.895598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:27.312833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:31.837779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:35.123310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:38.513466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:43.649173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:47.208039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:20.582655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:25.224469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:31.255206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:38.319614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:41.664645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:45.288623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:49.260906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:53.062152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:01:56.670854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:00.002936image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:04.623951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:08.492999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:12.103389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:16.303473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:19.948580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:24.063523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:27.475792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:31.985198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:35.253885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:38.700833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-23T02:02:43.799629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-02-23T02:02:58.495129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
IDX1X10X11X12X13X14X15X16X17X18X19X2X20X21X22X23X3X4X5X6X7X8X9Y
ID1.0000.031-0.016-0.0060.0110.0100.0160.0330.0150.0200.0120.0510.1790.0940.0220.0120.0380.0330.0210.025-0.025-0.005-0.009-0.0040.038
X10.0311.000-0.285-0.2640.0540.0490.0610.0730.0810.0880.2720.2780.0730.2840.2830.2940.317-0.2640.0640.186-0.296-0.343-0.332-0.3090.157
X10-0.016-0.2851.0000.8210.4990.5380.5870.6500.6180.5790.1750.2220.0560.2600.1070.1850.1720.1370.033-0.0830.4860.6740.7180.8220.269
X11-0.006-0.2640.8211.0000.4880.5240.5610.6060.6680.6300.1780.2000.0470.2380.2840.1410.1980.1240.030-0.0760.4640.6350.6710.7320.249
X120.0110.0540.4990.4881.0000.9110.8580.8070.7690.7340.5020.4720.0260.4410.4420.4250.4100.0950.0170.0010.3150.5710.5240.5120.031
X130.0100.0490.5380.5240.9111.0000.9080.8480.8030.7650.6360.4980.0330.4680.4610.4490.4290.0920.0120.0020.3300.5510.5890.5580.031
X140.0160.0610.5870.5610.8580.9081.0000.9040.8490.8040.5500.6380.0180.4920.4890.4770.4580.0810.0120.0020.3140.5190.5570.6190.000
X150.0330.0730.6500.6060.8070.8480.9041.0000.9030.8480.5120.5550.0260.6340.5070.5040.4810.0690.014-0.0030.3070.4980.5310.5930.019
X160.0150.0810.6180.6680.7690.8030.8490.9031.0000.9020.4830.5150.0210.5490.6470.5250.5090.0600.015-0.0000.2990.4780.5070.5610.017
X170.0200.0880.5790.6300.7340.7650.8040.8480.9021.0000.4560.4870.0260.5190.5700.6660.5290.0560.0160.0000.2890.4590.4850.5340.022
X180.0120.2720.1750.1780.5020.6360.5500.5120.4830.4561.0000.5120.0000.5190.4860.4680.455-0.0420.0310.034-0.0980.0200.2160.1850.027
X190.0510.2780.2220.2000.4720.4980.6380.5550.5150.4870.5121.0000.0000.5160.5200.4970.491-0.0470.0200.044-0.0640.0840.0370.2460.013
X20.1790.0730.0560.0470.0260.0330.0180.0260.0210.0260.0000.0001.0000.0120.0000.0140.0120.0290.0320.0910.0590.0710.0670.0630.039
X200.0940.2840.2600.2380.4410.4680.4920.6340.5490.5190.5190.5160.0121.0000.5160.5340.505-0.0420.0190.033-0.0540.0870.1030.0690.024
X210.0220.2830.1070.2840.4420.4610.4890.5070.6470.5700.4860.5200.0000.5161.0000.5340.547-0.0430.0300.041-0.0340.0950.1190.1440.022
X220.0120.2940.1850.1410.4250.4490.4770.5040.5250.6660.4680.4970.0140.5340.5341.0000.549-0.0490.0000.038-0.0260.0990.1240.1620.035
X230.0380.3170.1720.1980.4100.4290.4580.4810.5090.5290.4550.4910.0120.5050.5470.5491.000-0.0530.0000.039-0.0450.0820.0980.1430.028
X30.033-0.2640.1370.1240.0950.0920.0810.0690.0600.056-0.042-0.0470.029-0.042-0.043-0.049-0.0531.0000.1140.1590.1320.1690.1620.1520.072
X40.0210.0640.0330.0300.0170.0120.0120.0140.0150.0160.0310.0200.0320.0190.0300.0000.0000.1141.0000.2860.0360.0340.0320.0350.033
X50.0250.186-0.083-0.0760.0010.0020.002-0.003-0.0000.0000.0340.0440.0910.0330.0410.0380.0390.1590.2861.000-0.064-0.083-0.083-0.0800.048
X6-0.025-0.2960.4860.4640.3150.3300.3140.3070.2990.289-0.098-0.0640.059-0.054-0.034-0.026-0.0450.1320.036-0.0641.0000.6270.5480.5160.422
X7-0.005-0.3430.6740.6350.5710.5510.5190.4980.4780.4590.0200.0840.0710.0870.0950.0990.0820.1690.034-0.0830.6271.0000.7990.7130.340
X8-0.009-0.3320.7180.6710.5240.5890.5570.5310.5070.4850.2160.0370.0670.1030.1190.1240.0980.1620.032-0.0830.5480.7991.0000.8010.294
X9-0.004-0.3090.8220.7320.5120.5580.6190.5930.5610.5340.1850.2460.0630.0690.1440.1620.1430.1520.035-0.0800.5160.7130.8011.0000.278
Y0.0380.1570.2690.2490.0310.0310.0000.0190.0170.0220.0270.0130.0390.0240.0220.0350.0280.0720.0330.0480.4220.3400.2940.2781.000

Missing values

2025-02-23T02:02:47.475454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-02-23T02:02:47.786210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

IDX1X2X3X4X5X6X7X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23Y
01200002212422-1-1-2-239133102689000068900001
1212000022226-1200022682172526823272345532610100010001000020001
2390000222340000002923914027135591433114948155491518150010001000100050000
3450000221370000004699048233492912831428959295472000201912001100106910000
455000012157-10-100086175670358352094019146191312000366811000090006896790
56500001123700000064400570695760819394196192002425001815657100010008000
67500000112290000003679654120234450075426534830034739445500040000380002023913750137700
78100000222230-1-100-111876380601221-1595673806010581168715420
891400002312800200011285140961210812211117933719332904321000100010000
9102000013235-2-2-2-2-1-10000130071391200013007112200
IDX1X2X3X4X5X6X7X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23Y
29990299911400001214100000013832513714213911013826249675461216000700042281505200020000
2999129992210000121343222222500250025002500250025000000001
29992299931000013143000-2-2-288021040000002000000000
2999329994100000112380-1-100030421427102996706266947355004200011178440003000200020000
299942999580000122342222227255777708793847751982607811587000350007000040001
29995299962200001313900000018894819281520836588004312371598085002000050033047500010000
299962999715000013243-1-1-1-100168318283502897951900183735268998129000
29997299983000012237432-10035653356275820878205821935700220004200200031001
299982999980000131411-1000-1-16457837976304527741185548944859003409117819265296418041
299993000050000121460000004792948905497643653532428153132078180014301000100010001